Provenance — who produced it, who reused it
Linked to 1 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
1 further paper cites this accession but reuse could not be confirmed.
Deep data QC
92/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
RNA-Seq of Nasonia vitripennis on an Illumina HiSeq 2000 produces ~3.9 million reads at high base quality (97.2% ≥Q20), providing transcriptome coverage for investigating developmental gene expression and parasitoid-host interactions. The elevated N-content (0.323%) is moderate and manageable with standard QC filtering. Reuse for differential expression studies is suitable when combined with appropriate biological replicates.
The A grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0